Mathematics – Logic
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21725212b&link_type=abstract
American Astronomical Society, AAS Meeting #217, #252.12; Bulletin of the American Astronomical Society, Vol. 43, 2011
Mathematics
Logic
Scientific paper
LSST's real-time image processing pipeline is expected to release tens of thousands of variability alerts per night. Many of these alerts will be associated with previously known classes of Galactic and cosmological variability. However, with LSST's novel combination of areal coverage, photometric depth, and rapid time sampling, new classes of phenomena will be uncovered. To recognize them, we must first characterize the menagerie of known transient and variable phenomena as they will be seen by LSST. We report here on efforts to model the signatures of astrophysical variability using the operational and image simulation tools being developed by LSST. This includes the injection of variable flux, at the pixel level, into simulated LSST images, and the measurement of this signal using the LSST Data Management stack. We also address LSST's potential capability to serve as a localization resource for alerts issued by gravity wave experiments, whose effective beam size is well-matched to LSST's field of view. This opportunity for trans-spectral astrophysics requires interrupt and follow-up capabilities in the LSST scheduler, as well as well-defined conditions to trigger them.
Becker Andrew C.
Bloom Josh S.
LSST Collaboration
Walkowicz Lucianne M.
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